• Consumer AI adoption outpaces enterprise, but the last-mile gap remains between demos and reliable operations. • Enterprise AI adoption historically takes 5-10 years, requiring consensus, process redesign, and trust in data. • Cloud adoption took a decade; similar hurdles exist for AI, including infrastructure and security concerns. • Change management is as critical as technology; AI must align with organizational culture and workflows. • Faster deployment possible today thanks to modular AI services, automation, and proven best practices. • Companies that embrace change, invest in training, and iterate quickly will win the AI race.
Article Summaries:
- From vacation planning to homework help, the adoption of AI by consumers has happened at breakneck speed, while enterprises often still struggle to go from a first pilot to broad deployment. That last-mile challenge will be familiar to anyone who remembers the rollouts of email, broadband, the cloud, and other technology innovations. It’s the gap between staging impressive demos and making those systems work reliably in real-world operations, as early potential rams into the countless challenges that lie between exciting prototype and adoption at scale. Enterprise AI is just the latest innovat
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